174
click to vote
ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
181
click to vote
ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
154
click to vote
ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...